Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Teodoro Rafael Alamo Cantarero"'
Publikováno v:
IEEE Control Systems Letters. 6:2258-2263
Accelerated first order methods, also called fast gradient methods, are popular optimization methods in the field of convex optimization. However, they are prone to suffer from oscillatory behaviour that slows their convergence when medium to high ac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1b654b7dd4888ea25f0dc3ddf244079
http://arxiv.org/abs/2102.12387
http://arxiv.org/abs/2102.12387
Publikováno v:
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
instname
This work presents a new methodology to obtain probabilistic interval predictions of a dynamical system. The proposed strategy uses stored past system measurements to estimate the future evolution of the system. The method relies on the use of dissim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2988fe5a3aabe12e5ad11a897475d389
http://arxiv.org/abs/2010.15530
http://arxiv.org/abs/2010.15530
Autor:
Teodoro Rafael Alamo Cantarero, Eduardo F. Camacho, Daniel Rodríguez Ramírez, David Muñoz de la Peña
Publikováno v:
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
instname
Min-Max MPC (MMMPC) controllers [5] suffer from a great computational burden that is often circumvented by using upper bounds of the worst possible case of a performance index. These upper bounds are usually computed by means of linear matrix inequal